In an increasingly AI-gated legal services market, smart law firms—and their legal marketing teams—won’t rely on inbound ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

AMD's MEXT acquisition is an efficiency upgrade for data centers, not a disruption to the AI memory market.

But by this spring, Khan had admitted that the release of Khanmigo was “a non-event” for many kids. Although access exploded, ...

Crystal Carter and Jen Cornwell tackled AI search from opposite angles at SMX Advanced. Together, they reveal why most ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...

Abstract: This paper introduces a new discrete StarFish Optimization Algorithm (D-SFOA) to solve a complex discrete Symmetric Travelling Salesman Problem (STSP). The discrete SFOA algorithm is ...

The grey wolf optimization algorithm is a metaheuristic optimization algorithm based on the behavior of grey wolf groups in nature, which has the advantages of a simple concept and few adjustment ...

Abstract: In multimodal multiobjective optimization problems (MMOPs), multiple solutions on different Pareto optimal solution sets (PSs) are mapped to the same point on the Pareto front (PF).

Artificial intelligence (AI) is the new arms race and the centerpiece of defense modernization efforts across multiple countries, including the United States. Yet, despite the surge in AI investments, ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...